About the role
structured by ORIMachine Learning Engineer — 20 LPA Location: Remote Experience: 2–5 Years Type: Full-time About the Company A fast-growing health-tech company building AI-powered solutions to improve healthcare workflows, decision-making, and patient experiences. The team works at the intersection of machine learning, healthcare…
What you will do
- Develop and productionize machine learning models for healthcare use cases.
- Work with structured and unstructured datasets to identify meaningful patterns.
- Build data preprocessing, feature engineering, training, and evaluation pipelines.
- Experiment with modern ML and deep learning techniques.
- Work with NLP/LLM-based solutions where applicable.
What they are looking for
- 2–5 years of experience in Machine Learning/AI engineering.
- Strong Python programming skills.
- Experience with PyTorch, TensorFlow, or Scikit-learn .
- Strong understanding of ML algorithms, statistics, and model evaluation.
- Experience working with data processing and ML pipelines.
- Knowledge of SQL and experience working with large datasets.
- Familiarity with REST APIs, Docker, and cloud platforms.
- Experience taking ML models from experimentation to production.
Nice to have
- Experience with NLP, LLMs, Generative AI, or healthcare AI .
- Experience with AWS/GCP/Azure.
- Knowledge of MLOps and model monitoring.
- Experience working with healthcare or clinical datasets.
Full posting text
Machine Learning Engineer — 20 LPA
Location: Remote
Experience: 2–5 Years
Type: Full-time
About the Company
A fast-growing health-tech company building AI-powered solutions to improve healthcare workflows, decision-making, and patient experiences. The team works at the intersection of machine learning, healthcare data, and modern software engineering , with a strong focus on deploying practical AI systems into production.
About the Role
We’re looking for a Machine Learning Engineer to design, develop, and deploy ML models that solve real-world healthcare problems. You’ll work closely with product and engineering teams to take models from experimentation to reliable production systems.
What You’ll Do
Develop and productionize machine learning models for healthcare use cases.
Work with structured and unstructured datasets to identify meaningful patterns.
Build data preprocessing, feature engineering, training, and evaluation pipelines.
Experiment with modern ML and deep learning techniques.
Work with NLP/LLM-based solutions where applicable.
Deploy and monitor ML models in production environments.
Optimize models for accuracy, scalability, latency, and reliability.
Collaborate with software engineers and product teams to integrate ML capabilities into applications.
Requirements
2–5 years of experience in Machine Learning/AI engineering.
Strong Python programming skills.
Experience with PyTorch, TensorFlow, or Scikit-learn .
Strong understanding of ML algorithms, statistics, and model evaluation.
Experience working with data processing and ML pipelines.
Knowledge of SQL and experience working with large datasets.
Familiarity with REST APIs, Docker, and cloud platforms.
Experience taking ML models from experimentation to production.
Good to Have
Experience with NLP, LLMs, Generative AI, or healthcare AI .
Experience with AWS/GCP/Azure.
Knowledge of MLOps and model monitoring.
Experience working with healthcare or clinical datasets.
Why Join?
Work on AI problems with real-world healthcare impact .
Fully remote opportunity.
Opportunity to work closely with experienced AI and product teams.
High ownership and exposure to production-grade ML systems.
Compensation: Up to ₹20 LPA
Location: Remote
Role: Machine Learning Engineer
Seniority level: Entry level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting